Natural Language Processing for the rest of us.
Opinions, Entities and Sentiments in 6 languages
and across domains.

The OpeNER project

OpeNER is a project funded by the European Commission under the
FP7 (7th Framework Program). Its acronym stands for Open
Polarity Enhanced Name Entity Recognition.

OpeNER’s main goal is to provide a set of ready to use tools to
perform some natural language processing tasks, free and easy to
adapt for Academia, Research and Small and Medium Enterprise to integrate them in their workflow. More precisely, OpeNER aims to be able to detect and disambiguate entity mentions and perform sentiment analysis and opinion detection on the texts, to be able for example, to extract the sentiment and the opinion of customers about certain resource (e.g. hotels and accommodations) in Web reviews.

What can OpeNER do?

OpeNER excels at detecting sentiments, opinions and named
entities in texts. Get more information in the getting started guide.

Open Source

All source code of OpeNER is freely available and ready for
you to use. Visit the Getting
Started section to get some
help on installing OpeNER on your local machine.

Webservices

Jump right in and get started. All of OpeNER is available as
a webservice.

Multi Lingual

OpeNER is currently available in Dutch, English, German,
French, Spanish and Italian. Is your language not in the
list? You can add it yourself if you want.

Tourism & News

The OpeNER components have been proven and tested on news
and hospitality reviews. It is pretty easy however, to add
your own domain.

Extendible

There are well written manuals available on how to extend
the OpeNER technology to your domain and in your languages.
Visit the getting started page to get started.

Featured Demo

This demo was created to show you what the different OpeNER
components can achieve. The demo uses the OpeNER Webservices
to analyze it's texts.
Visit the OpeNER
Analysis Demo.